| PharmaSUG CN |
2026 |
AI intelligent document translation: The deep integration of high-fidelity typesetting and large model knowledge bases |
Zuocheng Xiang |
source |
8 |
| PHUSE US |
2026 |
AI-Driven Quality Risk Management for Contract Manufacturing Oversight: An ML Approach |
Kiran Kumar Gande |
source presentation source |
7 |
| PHUSE US |
2026 |
CLIQ: An AI-Native Framework for Unified Clinical Trial Data Quality Assurance |
Gopinath Viswanathan |
source presentation source |
5 |
| PHUSE US |
2026 |
Democratising SDTM Transformations: AI-Assisted Function Development with Business-Driven Governance |
Ulf Nielsen, Rostislav Markov |
source presentation source |
11 |
| PHUSE US |
2026 |
Ensuring Reliability of Medical Devices Through Statistical Oversight in the Age of AI |
Parvee Kumar, Shrutimita Pokhariyal |
source presentation source |
11 |
| PHUSE US |
2026 |
Leveraging AI for Clinical Data Transparency: Automating Complex Disclosure Workflows [presentation] |
Woo Song |
source |
21 |
| PHUSE EU |
2025 |
Collaborative Industry Open-Source Solutions for Clinical Trial Quality Management |
Björn Koneswarakantha, Frederik Collin |
source presentation source |
9 |
| PHUSE EU |
2025 |
JazzAIR: Advancing Clinical Study Reporting Through Modern Development Practices and Testing Strategy [presentation] |
Jakub Sobolewski, Chen Yang |
source |
34 |
| PHUSE EU |
2025 |
Quality as an Innovation Catalyst: Transforming Tech-QA Dynamics |
Megan Lafferty |
source presentation source |
3 |
| PHUSE EU |
2025 |
The Art of Timely Deliverables: How We Learned To Stop Worrying and Love the Deadline |
Søren Fjelstrup |
source presentation source |
12 |
| PHUSE EU |
2025 |
USDM Synthetic Data |
Generation Stuart Malcolm |
source presentation source |
7 |
| PHUSE US |
2025 |
Ensuring Data Integrity: A Three Step Approach to Clinical Dashboard Validation |
River Meckstroth |
source presentation source |
7 |
| MWSUG |
2024 |
NHANES Dietary Supplement component: a parallel programming project |
Jayanth Iyengar |
source |
20 |
| SESUG |
2024 |
NHANES Dietary Supplement component: a parallel programming project |
Jayanth Iyengar |
source |
20 |
| PharmaSUG CN |
2024 |
One-stop solution for QA - Automation Tool by Python |
Yangxue Ma |
source |
5 |
| PharmaSUG |
2024 |
Quality Assurance within Statistical Programming: A Systemic Way to Improve Quality Control |
Todd Case, Margaret Huang |
source |
4 |
| PHUSE US |
2024 |
Collaborative Development of a Clinical Trial Data Anomaly Detection Tool within an Industry Consortium |
Pekka Tiikkainen |
source presentation source |
6 |
| PHUSE EU |
2023 |
Red Pill or Blue Pill? Assessing the Impact of Artificial Intelligence on Pharmaceutical Programming |
Paul Shannon |
source presentation source |
6 |
| PHUSE EU |
2023 |
Unlock Privacy-Sensitive Data with AI-Generated Synthetic Data |
Wim Kees Janssen |
source presentation source |
6 |
| WUSS |
2023 |
Processing Large Volumes of Communicable Disease Data: SAS Techniques from the COVID-19 Experience in San Diego County |
Whitney Webber, Nathaly Moran, Jacob Ritz, Fatema Sakha, Jacquelyn Ho, Jennifer Nelson |
source |
10 |
| PHUSE EU |
2022 |
F2 (FAIR and Filing) Dashboard [poster] |
Nigel Montgomery, Bhupendra Mistry |
source |
1 |
| SESUG |
2022 |
Q&A with the macro maven: is sql our lingua franca? |
Ronald J. Fehd |
source |
9 |
| WUSS |
2022 |
Putting the Meta into the Data: Managing Data Processing for a Large Scale CDC Surveillance Project with SAS |
Louise S. Hadden |
source |
18 |
| PharmaSUG |
2022 |
Vendor Audit: What it is and What to Expect from it |
Parag Shiralkar, Nagadip Rao |
source |
6 |
| SESUG |
2021 |
NHANES Dietary Supplement component: a parallel programming project |
Jayanth Iyengar |
source |
20 |
| PHUSE US |
2021 |
Data Science Presentations: DSc02: The Digital Era Outpaces Traditional QA [presentation] |
Karl Brand, Miriam Ferrer-Gonzale |
source |
45 |
| PHUSE US |
2021 |
Is it ART? An Application of TransCelerate's MoA Framework for Assessing Accuracy, Reproducibility and Traceability in Novel Software Implementations [presentation] |
Michael S Rimler, Tim Kuhn |
source |
20 |
| PHUSE US |
2021 |
Standing Room Only Presentation: CM03: Quality Tolerance Limits: Leveraging Predictive Modeling [presentation] |
Christina Dinger, Slade McKee |
source |
18 |
| PharmaSUG |
2021 |
NHANES Dietary Supplement component: a parallel programming project |
Jayanth Iyengar |
source |
20 |
| PHUSE EU |
2020 |
Successful and Optimised Project Delivery by Embracing Agile in a Validated Environment [presentation] |
Andy Ratcliffe, Chris Cowling |
source video |
34 |
| SESUG |
2020 |
Custom SAS Studio Tasks for All Occasions |
John Stephen Taylor |
source |
10 |
| SESUG |
2020 |
NHANES Dietary Supplement component: a parallel programming project |
Jayanth Iyengar |
source |
20 |
| PharmaSUG |
2020 |
NHANES Dietary Supplement component: a parallel programming project |
Jayanth Iyengar |
source |
18 |
| PHUSE US |
2020 |
Open Source Technologies in Clinical Research |
Bruce Wienckowski, Michael S Rimler |
source presentation source |
7 |
| PharmaSUG |
2019 |
An Automated, Metadata Approach to Electronic Dataset Submissions |
Janette Garner |
source |
8 |
| PharmaSUG |
2019 |
Avoiding Disaster: Manager's Guide on How to Rescue a Failing Outsourced Project |
Dilip Raghunathan |
source |
9 |
| SESUG |
2018 |
Synchronized tracking of dataset versions with programs and logs using Proc PRINTTO and other SAS tricks. |
Laxminarayana Ganapathi |
source |
8 |
| PHUSE US |
2018 |
Assuring Data Integrity and Data Quality in Sponsor Submissions |
Paul Schuette |
source presentation source |
5 |
| PharmaSUG |
2018 |
The Statistical Programming Summit |
Todd Case |
source |
4 |
| SGF |
2018 |
Role and Value of Visual Analytical Insights for Decision-Making throughout the Global Supply Chain [presentation] |
Shantanu Samanta, Paul Reynolds |
source |
11 |
| SGF |
2018 |
The Power of Testing! An Automated SAS Enterprise Guide System for Testing |
Karine Désilets |
source |
23 |
| PHUSE EU |
2017 |
The TFL Workbench:From Pilot to Production |
Iain Humphreys, Hansjörg Frenzel |
source presentation source |
11 |
| SGF |
2016 |
How to STRIP Your Data: Five Go-To Steps to Assure Data Quality |
Michael Santema, Fagen Xie |
source |
6 |
| WUSS |
2015 |
Why Aren't Exception Handling Routines Routine? Toward Reliably Robust Code through Increased Quality Standards in Base SAS |
Troy Martin Hughes |
source |
15 |
| SGF |
2015 |
Why Aren't Exception Handling Routines Routine? Toward Reliably Robust Code through Increased Quality Standards in Base SAS |
Troy Martin Hughes |
source |
17 |
| SGF |
2015 |
Will You Smell Smoke When Your Data Is on Fire? The SAS Smoke Detector: A Scalable Quality Control Dashboard for Transactional and Persistent Data |
Troy Martin Hughes |
source |
25 |
| MWSUG |
2014 |
Why Aren't Exception Handling Routines Routine? Toward Reliably Robust Code through Increased Quality Standards in Base SAS |
Troy Martin Hughes |
|
14 |
| MWSUG |
2014 |
Will You Smell Smoke When Your Data Are on Fire? The SAS Smoke Detector: Installing a Scalable Quality Control Dashboard for Transactional and Persistent Data |
Troy Martin Hughes |
|
25 |
| WUSS |
2013 |
Checklist for the Standardization of Quality Assurance and Optimization of HEDIS Programming |
Jason Hermosillo |
source |
4 |
| NESUG |
2012 |
Quality Assurance: Best Practices in Clinical SAS Programming |
Parag Shiralkar |
|
8 |
| NESUG |
2012 |
Yes, No, Maybe So: Tips and Tricks for Using 0/1 Binary Variables |
Laurie Hamilton |
|
6 |
| SGF |
2012 |
SAS Solutions Make HEDIS Measures Programming Easier |
Qingfeng Liang |
source |
9 |
| SESUG |
2011 |
Misquoting Jane Austen in the Name of Quality Assurance |
Deborah Posner |
source |
11 |
| WUSS |
2011 |
Managing Your Intellectual Property: Optimizing Your Investment of Resources by Building a Searchable SAS Program Repository |
Joe Perry |
source |
3 |
| NESUG |
2011 |
Creating Easily Reusable and Extensible Processes: Code That Thinks for Itself |
Faisal Dosani, Lisa Eckler, Marje Fecht |
|
17 |
| NESUG |
2010 |
Misquoting Jane Austen in the Name of Quality Assurance |
Deborah Posner |
|
12 |
| PHUSE EU |
2010 |
Risk Radar for the Outsourcing of Clinical Trials: The Best Guide for Success |
Randy Ramin-Wright, Raffael Jovine |
source presentation source |
12 |
| MWSUG |
2010 |
SAS Macro Application Using Microsoft Excel As Both Control File and Process Documentation |
Mike D. Tangedal |
|
5 |
| PharmaSUG |
2010 |
Programming Validation: Perspectives and Strategies |
Parag Shiralkar |
|
4 |
| SGF |
2010 |
A Nonparametric Method to Assess Treatment Effects for Unbalanced Designs Using SAS/IML |
Michael Cunningham |
source |
12 |
| PHUSE EU |
2009 |
Compliant Agile Development - using iterative approaches to develop and/implement computer systems |
Christopher Cieslok, Ian Francis |
source presentation source |
15 |
| PNWSUG |
2009 |
When Good Looks Aren't Enough |
Lisa Eckler |
|
11 |
| NESUG |
2009 |
When Good Looks Aren't Enough |
Lisa Eckler |
|
11 |
| WUSS |
2008 |
Using SAS/AF for Managing Clinical Data |
Wynn Zheng |
source |
14 |
| SESUG |
2008 |
Automation Of An Audit Waterfall Using SAS Macros and ODS Tagsets.ExcelXP |
Denise A. Kruse, Independent Contractor |
source |
12 |
| WUSS |
2007 |
Detecting Possible Anomalies in Large Data Tables: Methods and Concepts |
Thomas E. Billings |
source |
7 |
| SGF |
2007 |
How Shall We Secure the BI Enterprise? |
Paul High, Jerry Christenson |
source |
9 |
| SGF |
2007 |
Web-based Data Quality Assurance Reports at the National Alzheimers Coordinating Center (NACC) |
Woodrow Beekly, Duane Lee, William W. Koepsell, Thomas Kukull, Walter A. Deitrich |
source |
6 |
| WUSS |
2006 |
PROC SQL: A Powerful Tool to Improve Your Data Quality |
Keh-Dong Shiang |
source |
10 |
| PharmaSUG |
2006 |
Specifications for Derived Data (Or, Would You Build a House Without Prints?) |
Richard Weisman |
|
11 |
| SUGI |
2006 |
PROC SQL: A Powerful Tool to Improve Your Data Quality |
Keh-Dong Shiang |
source |
10 |
| SUGI |
2006 |
Using External Data Dictionary Files When Building SQL Queries in Base SAS |
Mike D. Tangedal |
source |
10 |
| SCSUG |
2004 |
Just for the Kids School Reports: A data-oriented web site powered by SAS |
Bob Zambarano |
|
14 |
| SUGI |
2004 |
Real Time Decision Support: Creating a Flexible Architecture for Real Time Analytics |
Gregory S. Barnes Nelson |
source |
13 |
| NESUG |
2003 |
PROC MI as the Basis for a Macro for the Study of Patterns of Missing Data |
Carl E. Pierchala |
|
8 |
| SEUGI |
2003 |
Human Capital Management at SMC [presentation] |
Sandro Guidorizzi |
source |
24 |
| SEUGI |
2003 |
Intelligence and Analytics - The Winning Combination [presentation] |
Betty Silver |
source |
36 |
| SEUGI |
2003 |
TietoEnator - Building the Information Society [presentation] |
Kenneth Dufvenmark |
source |
41 |
| PharmaSUG |
2003 |
Error Checking and Version Control of SAS Programs |
Christopher Kania |
|
4 |
| SEUGI |
2002 |
Strategic Procurement in the Public Sector implementing SAS SRM at UWV [presentation] |
Evert van Os, Grieko Enter |
source |
19 |
| PharmaSUG |
2002 |
Preparing the SAS Software Programming Environment for Regulatory Submission |
Sunil Kumar Gupta |
|
10 |
| SUGI |
2002 |
A Secure Online Data Validation &Collection System for HEDIS Survey Data |
Christopher A. Roper |
source |
9 |
| SESUG |
2001 |
Defining Test Data Using Population Analysis |
Clarence W. Jackson |
source |
6 |
| SCSUG |
2001 |
Defining Test Data Using Population Analysis |
Clarence W. Jackson |
|
6 |
| SEUGI |
2001 |
Implementing a BSC in a changing environment of Social Security [presentation] |
Grieko Enter |
source |
26 |
| PharmaSUG |
2001 |
Pre-requisite to Effective Validation: Evaluating Your Clinical Trials Software Development Environment Using SEI's Capability Maturity Model for Software |
David C. Izard |
|
8 |
| SUGI |
2001 |
Preparing the SAS Software Programming Environment for Regulatory Submission |
Sunil Kumar Gupta |
source |
9 |
| WUSS |
2000 |
Accessing & Integrating The MS Windows Win32 API in SAS Applications |
Christopher A. Roper |
source |
6 |
| SEUGI |
2000 |
Balanced Scorecard ING Bank [presentation] |
Kees Timmers, Popko de Vlugt |
source |
23 |
| SEUGI |
2000 |
Risk Analysis De Nederlandsche Bank N.V. [presentation] |
Corne van der Burg |
source |
17 |
| PharmaSUG |
2000 |
Integrating Metatdata in Pharmaceutical R&D Warehouses |
Philip M. Pochon |
|
5 |
| SUGI |
2000 |
Warehousing, Metadata, and Object-Based Analysis |
Thomas H. Burger, Philip M. Pochon |
source |
5 |
| MWSUG |
1999 |
Using Continuous Sampling Plans to Quantify the Effectiveness of Quality Assurance Checks on Data From Clinical Trials |
Dennis W. King, Roderick Lashley |
|
4 |
| WUSS |
1998 |
The Challenges of GUI Testing |
Dawn Amos, Stuart Austin, JoAnna Longman, Allen Malone, Sue McGrath, Jim McNealy, Natalie Morgan |
source |
8 |
| NESUG |
1997 |
An Evaluation of SAS/PH-Clinical Software as a Pharmaceutical Reporting Tool |
Phil Giangiulio |
|
11 |
| SEUGI |
1997 |
SASSEE - A Software Engineering Environment for SAS Application Development |
Martin Studemund, Rainer Uhl, Robert N. Lemke-Noe, Wolf-Dieter Batz |
source |
22 |
| SEUGI |
1997 |
Understanding and enforcing standards to promote efficiency |
Meimei Ma, Sandra D. Schlotzhauer |
source |
9 |
| SUGI |
1997 |
Designing Databases Using a Customized SAS/AF Frame Entry Application |
Esther Kwan |
source |
5 |
| SUGI |
1997 |
Using SAS/AF for Managing Clinical Data |
Carl R. Haske |
source |
6 |
| SESUG |
1996 |
Developing Clinical Software Systems in SAS/AF |
Carl R. Haske |
|
10 |
| NESUG |
1996 |
Quality Assurance and The SAS System |
Thalene T. Mallus |
|
10 |
| MWSUG |
1996 |
Clinical Data Management Using SAS/AF |
Carl R. Haske |
|
8 |
| WUSS |
1996 |
Cross Platform Generation of Reports from Oracle Using SAS on MVS, Macintosh and AIX |
Marvyn M. Lindsey |
source |
6 |
| SEUGI |
1996 |
PADRES: a system supporting the user friendly access and analysis of pharma Chemical Production Data |
B. Rutishauser, H.W. Schrader, Th. Graf |
source |
44 |
| SEUGI |
1996 |
REPOS: An application development environment platform for rapid development of SAS [presentation] |
UNKNOWN |
source |
57 |
| SEUGI |
1996 |
The SAS System in the Heterogeneous Systems Environment of an Industrial Company |
Mattias Wolff |
source |
44 |
| SUGI |
1996 |
Cross Platform Generation of Reports from Oracle Using SAS on MVS, Macintosh and A/X |
Marvyn M. Lindsey |
source |
6 |
| NESUG |
1995 |
A Data Warehouse Application under UNIX |
Cynthia A. Stetz |
|
4 |
| NESUG |
1995 |
Managing Large Databases With Customized SAS Windows |
Ronald W. Matheny |
|
10 |
| SESUG |
1995 |
Applications Development Building Quality into the SAS System |
Frank Lassiter |
|
5 |
| SEUGI |
1995 |
A Working Model to Build Data Warehouse Applications |
Niklas Karlsson |
source |
9 |
| SUGI |
1995 |
Costs Down 80% - Error Rates Down 75%: Applying the SEI Model to the SAS Programming Environment |
Jeffrey Phillips, Robert G. Hall |
source |
13 |
| NESUG |
1994 |
Validating Your SAS Program |
Jennifer Dougherty |
|
4 |
| SEUGI |
1994 |
A Unique Application Generator for the Management and Control of Clinical Trials Data |
Chaim Singal |
source |
9 |
| SEUGI |
1994 |
An Application Development Application |
John Watts |
source |
9 |
| SUGI |
1994 |
Converting Mainframe Technical Information Resources to a Distributed Environment Using SAS: Two Case Studies |
Kalman J. Gyirnesi, Gregg A. Spindler, Richard A. DeVenezia |
source |
5 |
| SEUGI |
1993 |
A SAS Application in a Commercial Bank's EIS |
Ferenc Oiti |
source |
4 |
| SUGI |
1993 |
Administering a Large, Long-Term Clinical Trial Requiring a Hierarchical Database Using the SAS System, Release 6.07 |
Mitchell Snyder, Mark Goldberg, Michal Benderly |
source |
6 |
| SUGI |
1993 |
The Importance of SAS Software in a TQM Environment |
Paul J. Waldowski |
source |
5 |
| SESUG |
1993 |
Software Process Improvement at SAS Institute |
Kay C. Bydalek, Sue McGrath |
|
4 |
| SCSUG |
1992 |
Macro Techniques for Generating Customized Reports |
Jimmy A. DeFoor |
|
7 |
| SCSUG |
1992 |
Software Improvement at SAS Institute |
Kay C. Bydalek, Sue McGrath |
|
4 |
| NESUG |
1992 |
SAS Macro Library: An Easy Way to Increas the Productivity and Improve the Quality of the SAS Programming |
Lu Xu |
|
5 |
| SUGI |
1992 |
Macros Invocation Hierarchy: Session-Compiled, Autocall, and Compiled-Stored Macros |
Susan M. O'Connor |
source |
5 |
| SUGI |
1992 |
SAS Classes for Nonprogrammers in the Clinical Data Management World |
Susan V. Hale |
source |
4 |
| SUGI |
1991 |
A Data Entry Application in Clinical Research Using Quality Assurance Tools |
Miriam W. Rosenblatt |
source |
6 |
| SUGI |
1991 |
A Macro Program for Generating Customized Reports from User-Specified Column Variables and Page-Sort Variables |
Jimmy A. DeFoor |
source |
7 |
| SUGI |
1991 |
Software Validation and Quality Assurance in the Delivery of Software Systems: A Panel Discussion |
Judith H. Mopsik, Liz Poje, Carl F. Meredith, Bruce M. Tindall |
source |
4 |
| SUGI |
1990 |
Managing a Multiuser SAS Database with Version 6 SAS/AF Software: Generic Tasks |
Todd C. Folsom |
source |
4 |
| SUGI |
1989 |
Standard Operating Procedure in the Creation, Maintenance, and Quality Assurance of SAS Programs |
Wendy London, Bucky Walsh |
source |
6 |
| SUGI |
1989 |
Using the SAS System for Error Identification and Resolution in Large and Complex Data Structures |
Herbert C. Reynolds, Donald P. Trees |
source |
6 |
| SUGI |
1987 |
An Integrated Audit System Based on the SAS System |
Kirk Paul Lafler, David R. Mutziger |
source |
4 |
| SUGI |
1987 |
Information Systems in the Utility Industry Based on the SAS System: A Southern California Perspective |
Jacob C. Epperson, Roger B. Glaser, Clark M. Roberts, James H. Sorenson |
source |
|
| SUGI |
1987 |
Management Graphics in a Quality Assurance Environment |
Shirley J. McLelland |
source |
6 |
| SUGI |
1985 |
A Generic Data Entry Quality Assurance Tool |
Paul Kanciruk, Aaron E. Rosen |
source |
3 |
| SUGI |
1985 |
A Quality Assurance System for Manufacturing Applications using Base SAS Software on a Minicomputer |
Sandra Heard, Judith H. Mopsik |
source |
8 |
| SUGI |
1985 |
Development of a Data Management System for Long-term Ecological Research |
Marvin F. Marozas, Robert A. McLaughlin, William K. Michener |
source |
6 |
| SUGI |
1985 |
Maintaining Quality Control over Input Data with SAS Software |
R.A. Whitfield |
source |
3 |
| SUGI |
1985 |
SAS-based Information Systems for Start-Up and Operation of Nuclear Power Plants |
Jacob C. Epperson |
source |
10 |
| SUGI |
1982 |
CPE's New Panacea: The SAS-based PMS |
Shirley Linde, Sheryl Preston |
source |
3 |
| SUGI |
1981 |
Automated Management of the Regulatory Aspects of the Development and Registration of Pharmaceutical Products |
F. A. Adornato, D. K. Jackson, R. A. Michalak, C. A. Simon, C. S. Snoddy |
source |
3 |
| SUGI |
1981 |
Management of Quality Assurance Controls: Decision Support Systems |
Michael P. Farrell, Rodney H. Strand |
source |
5 |
| SUGI |
1980 |
Quality Assurance Controls in Research Data Base Management: Nonsense Codes in Hierarchical File Structures |
Steven P. Cobb, Karen L. Daniels, Michael P. Farrell, A. Dale Magoun, C. H. Pennington, Harold Schramm, Rodney H. Strand |
source |
5 |